What problem does it solve?
This Skill helps you design and optimize an in-app referral program that increases net-new installs without triggering fraud or damaging unit economics.
Core Features & Use Cases
- Referral fit assessment: Determines whether your app’s product structure and economics support meaningful referral growth (via network effects and payback assumptions).
- Reward and incentive design: Recommends double-sided, tiered, credits, or cash-style structures and sizes rewards using LTV-informed bounds.
- Activation, attribution, and fraud controls: Defines placement of referral CTAs, deep-link/deferred handling mechanics, reward issuance requirements, and fraud mitigation (bots, self-referrals, reward farming).
- Measurement framework: Computes and targets the viral coefficient (K-factor) and specifies what analytics to instrument for ongoing optimization.
Quick Start
Ask the referral-program skill to create a complete referral program plan for your app, including reward sizing, deep-link mechanics, fraud prevention, and the KPIs you should track.